Learning methods for intelligent evolving systems

被引：2

作者：

Yager, Ronald R. ^{[1
]}

机构：

[1] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA

来源：

2006 INTERNATIONAL SYMPOSIUM ON EVOLVING FUZZY SYSTEMS, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ISEFS.2006.251184

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We discuss two technologies that allow the construction of intelligent systems that can evolve and learn. The first is the Hierarchical Prioritized Structure and the second the participatory learning paradigm.

引用

页码：3 / 7

页数：5

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